6.2万 件 ・ 関連度順
Create Agent Users in Microsoft Entra ID from Agent Identities, enabling AI agents to act as digital workers with user identity capabilities in Microsoft 365 and Azure environments.
日本語の概要は準備中です。原文の説明を表示しています。
Detect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it. Use when asked to "humanize", "naturalize", or "remove AI feel" from Finnish text, or when editing .md/.txt files containing Finnish content. Identifies 26 patterns (12 Finnish-specific + 14 universal) and 4 style markers.
日本語の概要は準備中です。原文の説明を表示しています。
Set up complete GitHub Copilot configuration for a new project based on technology stack
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill whenever the user mentions IP geolocation feeds, RFC 8805, geofeeds, or wants help creating, tuning, validating, or publishing a self-published IP geolocation feed in CSV format. Intended user audience is a network operator, ISP, mobile carrier, cloud provider, hosting company, IXP, or satellite provider asking about IP geolocation accuracy, or geofeed authoring best practices. Helps create, refine, and improve CSV-format IP geolocation feeds with opinionated recommendations beyond RFC 8805 compliance. Do NOT use for private or internal IP address management — applies only to publicly routable IP addresses.
日本語の概要は準備中です。原文の説明を表示しています。
Draft and review professional emails that match your personal writing style. Analyzes your sent emails for tone, greeting, structure, and sign-off patterns via WorkIQ, then generates context-aware drafts for any recipient. USE FOR: draft email, write email, compose email, reply email, follow-up email, analyze email tone, email style.
日本語の概要は準備中です。原文の説明を表示しています。
Expert skill for building web-based game engines and games using HTML5, Canvas, WebGL, and JavaScript. Use when asked to create games, build game engines, implement game physics, handle collision detection, set up game loops, manage sprites, add game controls, or work with 2D/3D rendering. Covers techniques for platformers, breakout-style games, maze games, tilemaps, audio, multiplayer via WebRTC, and publishing games.
日本語の概要は準備中です。原文の説明を表示しています。
Set up eval-based QA for Python LLM applications: instrument the app, build golden datasets, write and run eval tests, and iterate on failures. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model.
日本語の概要は準備中です。原文の説明を表示しています。
Guide for using the Microsoft Fluent UI Blazor component library (Microsoft.FluentUI.AspNetCore.Components NuGet package) in Blazor applications. Use this when the user is building a Blazor app with Fluent UI components, setting up the library, using FluentUI components like FluentButton, FluentDataGrid, FluentDialog, FluentToast, FluentNavMenu, FluentTextField, FluentSelect, FluentAutocomplete, FluentDesignTheme, or any component prefixed with "Fluent". Also use when troubleshooting missing providers, JS interop issues, or theming.
日本語の概要は準備中です。原文の説明を表示しています。
Best practices for git workflow automation including atomic commits, branch naming, conventional commit format, and changelog generation.
日本語の概要は準備中です。原文の説明を表示しています。
Board meeting preparation, investor updates, and executive communication. Use when preparing board decks, writing investor updates, handling bad news with the board, structuring QBRs, or building board-level metric discipline. Includes the "Three Things" narrative model, the 4-tier metric hierarchy, and the pre-brief pattern that prevents board surprises.
日本語の概要は準備中です。原文の説明を表示しています。
Interactive, input-tool powered, task refinement workflow: interrogates scope, deliverables, constraints before carrying out the task; Requires the Joyride extension.
日本語の概要は準備中です。原文の説明を表示しています。
Get best practices for Entity Framework Core
日本語の概要は準備中です。原文の説明を表示しています。
Use when feature flag tests fail, flags need updating, understanding @gate pragmas, debugging channel-specific test failures, or adding new flags to React.
日本語の概要は準備中です。原文の説明を表示しています。
Create a README.md file for the project
日本語の概要は準備中です。原文の説明を表示しています。
Generate comprehensive rollout plans with preflight checks, step-by-step deployment, verification signals, rollback procedures, and communication plans for infrastructure and application changes
日本語の概要は準備中です。原文の説明を表示しています。
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-*.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating user timing marks.
日本語の概要は準備中です。原文の説明を表示しています。
Ensure that C# types are documented with XML comments and follow best practices for documentation.
日本語の概要は準備中です。原文の説明を表示しています。
Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/
日本語の概要は準備中です。原文の説明を表示しています。
Get best practices for MSTest 3.x/4.x unit testing, including modern assertion APIs and data-driven tests
日本語の概要は準備中です。原文の説明を表示しています。
Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations
日本語の概要は準備中です。原文の説明を表示しています。
Generate a complete MCP server project in C# with tools, prompts, and proper configuration
日本語の概要は準備中です。原文の説明を表示しています。
Get best practices for NUnit unit testing, including data-driven tests
日本語の概要は準備中です。原文の説明を表示しています。
Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework.
日本語の概要は準備中です。原文の説明を表示しています。
Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.
日本語の概要は準備中です。原文の説明を表示しています。